Category: 03. Asynchronous Programming

This tutorial focuses on managing asynchronous events in web applications, including user interactions, AJAX requests, and WebSockets. You’ll learn about various techniques for handling events asynchronously in different web environments, such as using JavaScript promises, async/await, and event-driven architectures. The tutorial includes practical examples for improving user experience, optimizing performance, and managing real-time updates in modern web applications.

Explore asynchronous network programming in C++ using the Boost.Asio library. This tutorial covers the fundamentals of asynchronous I/O operations, including setting up asynchronous network clients and servers. You’ll learn about the Boost.Asio event loop, handling asynchronous events, and managing connections efficiently. Practical examples will include building a basic asynchronous TCP server, handling multiple client connections, and managing network communication in a concurrent environment.

This tutorial covers asynchronous database operations in SQL using various libraries and frameworks. You’ll learn how to perform non-blocking database queries, manage connection pools, and handle large-scale data operations asynchronously. The tutorial includes examples for popular libraries and frameworks such as Node.js’s Sequelize, Python’s SQLAlchemy with asyncio, and Java’s CompletableFuture with JDBC. Practical use cases will include managing high-throughput data applications and optimizing database interactions.

Deep dive into asynchronous file I/O operations in Node.js, focusing on efficient and scalable file handling. This tutorial covers the use of Node.js’s fs module for asynchronous file operations, including reading, writing, and manipulating files without blocking the event loop. You’ll learn about streams, buffers, and best practices for managing large files and handling file system events. Practical examples will include creating file watchers, processing file uploads, and handling large data files.

This tutorial explores advanced patterns and techniques using Reactive Extensions (Rx) libraries across various languages, such as RxJava, RxJS, and Rx.NET. You’ll learn about complex operators and patterns for managing asynchronous data streams, such as flatMap, switchMap, and merge. The tutorial covers how to handle backpressure, perform transformations, and manage multiple streams of data. Practical examples will demonstrate how to build robust and scalable reactive systems using Rx.

This tutorial delves into asynchronous programming with Dart and Flutter, focusing on building responsive and performant mobile applications. You’ll learn how to use Dart’s Future and Stream classes to handle asynchronous operations and manage data streams. The tutorial covers integrating async operations with Flutter’s widget tree, managing state, and optimizing performance. Practical examples will include handling user input, performing network requests, and updating the UI based on asynchronous data.

Explore Go’s approach to asynchronous programming with goroutines and channels. This tutorial covers the fundamentals of goroutines for concurrent execution and channels for communication between goroutines. You’ll learn how to create and manage goroutines, use channels for synchronization, and handle errors in a concurrent environment. Practical examples will include scenarios like concurrent web scraping, managing background tasks, and designing scalable systems in Go.

This tutorial focuses on asynchronous programming in PHP using promises and libraries like ReactPHP and Amp. You’ll learn how to create and manage asynchronous operations, handle multiple concurrent tasks, and integrate with PHP’s synchronous ecosystem. Topics include promise-based workflows, event loops, and non-blocking I/O operations. Practical examples will demonstrate how to use asynchronous PHP for tasks such as HTTP requests, file operations, and long-running processes.

Dive into asynchronous programming in TypeScript using the async/await syntax. This tutorial explains how TypeScript enhances the async/await syntax with static typing, providing more robust and maintainable code. You’ll learn how to define async functions, handle promise-based operations, and manage errors. The tutorial also covers type inference with async operations, how to integrate with TypeScript’s type system, and best practices for ensuring type safety in asynchronous workflows.

Explore Kotlin’s coroutines, a powerful feature for writing asynchronous and concurrent code. This tutorial covers the basics of coroutines, including how to define and launch them, handle asynchronous tasks, and manage coroutine scopes. You’ll learn about suspend functions, coroutine builders like launch and async, and error handling in a coroutine context. Practical examples will include scenarios like performing background tasks, managing UI updates, and handling concurrency in Kotlin applications.